In general, the teacher assessment process in Indonesia is still carried out conventionally (this results in the length of time needed for decision making). The criteria used in these study are pedagogic, personality, social, professional. In this research, web-based decision support system application with SMART method will be built. Based on the research conducted, there were significant differences before and after using this application.
Inventory recording must be done by the company to find out the available stock, so that the company can know when to order goods from the supplier. With the existence of a good inventory system planning, it will be easier for the company to carry out the planned and controlled in and out of the goods process. A distributor of chemicals in recording and inventorying raw materials is still very simple resulting in many products being expired. The purpose of this research is to help companies systematically, precisely and accurately in inventory data collection to reduce expired products. By designing a raw material inventory information system using Visual Studio 2010 programming language and SQL Server 2008 R2 database, then the report form is generated using the Crystal Report 2010 version version. 13.02. With the new information system is expected to be able to provide inventory reports quickly and accurately, and can notify when there are raw materials that will be expired. With the existence of a database based on SQL server, each user will be more effective at work.
Strawberry plant is a fruit plants that have a high enough value. Strawberry fruit contains high amounts of fiber, vitamin C, folic acid, potassium and antioxidants. Cultivating strawberries is an easy task because strawberry plants are often affected by both micro-organisms, pests and bacteria. To reduce the spread of disease in strawberry plants, the initial introduction of strawberry disease will be carried out using digital image processing. Digital images of leaf are processed to determine the health status of the strawberry plant. The process carried out on digital images includes image improvement, color segmentation from RGB color space into HSV color space, regional segmentation to determine the area of deformed leaves and intact leaves. The image processing shows that 85% accuracy of detection is obtained.
Lupus is a type of skin disease known as 1000 face disease. This term arises due to this chronic disease causing symptoms and signs that are almost similar to other diseases. Artificial neural network is one method that can be used to help the medical world in managing clinical data. Nguyen Widrow is one of the algorithms and artifical neural network that can be used to make predictions and improve the iteration process. this study applying Nguyen Widrow algorithm in predicting lupus by Matlab. Based on the results of the training process, the Nguyen Widrow initialization algorithm is able to recognize patterns of 80% or range 16 of the 20 datasets. As for the results of testing Nguyen Widrow initialization algorithm with the initials activation function hidden = logsig, activating output logsig, target error 0.1 and learning rate 0.1, Epoch 10000 able to recognize 100% of patterns from 10 existing datasets. So from that it can be concluded that the Nguyen Widrow initialization algorithm can be used to predict disease patterns.
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